TY  - JOUR
AU  - Oriol Pujol
AU  - Debora Gil
AU  - Petia Radeva
PY  - 2005//
TI  - Fundamentals of Stop and Go active models
JO  - Image and Vision Computing
SP  - 681
EP  - 691
VL  - 23
IS  - 8
PB  - Butterworth-Heinemann
CY  - Newton, MA, USA
KW  - Deformable models
KW  - Geodesic snakes
KW  - Region-based segmentation
N2  - An efficient snake formulation should conform to the idea of picking the smoothest curve among all the shapes approximating an object of interest. In current geodesic snakes, the regularizing curvature also affects the convergence stage, hindering the latter at concave regions. In the present work, we make use of characteristic functions to define a novel geodesic formulation that decouples regularity and convergence. This term decoupling endows the snake with higher adaptability to non-convex shapes. Convergence is ensured by splitting the definition of the external force into an attractive vector field and a repulsive one. In our paper, we propose to use likelihood maps as approximation of characteristic functions of object appearance. The better efficiency and accuracy of our decoupled scheme are illustrated in the particular case of feature space-based segmentation.
SN  - 0262-8856
L1  - http://refbase.cvc.uab.es/files/PGR2005.pdf
UR  - http://dx.doi.org/10.1016/j.imavis.2005.03.007
N1  - IAM;MILAB;HuPBA
ID  - Oriol Pujol2005
ER  -